Stars
Digit 360 is a modular platform that unlocks new capabilities, and enables future research on the nature of touch.
OpenMMLab Foundational Library for Training Deep Learning Models
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
LUMIA-Group / rasat
Forked from ServiceNow/picardThe official implementation of the paper "RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL"(EMNLP 2022)
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
A relation-aware semantic parsing model from English to SQL
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
CTR prediction model based on spark(LR, GBDT, DNN)
Redshift data source for Apache Spark
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去…
Spark Streaming+Flume+Kafka+HBase+Hadoop+Zookeeper实现实时日志分析统计；SpringBoot+Echarts实现数据可视化展示
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Interactive and Reactive Data Science using Scala and Spark.
Spark: The Definitive Guide's Code Repository
REST job server for Apache Spark
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Project containig related material for my TensorFlow articles
Best Practices on Recommendation Systems
An industrial deep learning framework for high-dimension sparse data
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Deep Learning Pipelines for Apache Spark